ABOUT THE PYTHON DATA ENGINEER ROLE:

We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases.

This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation.

KEY RESPONSIBILITIES:
- Develop, test, and maintain efficient Python applications.
- Write optimized SQL queries and work with relational databases to manage and analyse large datasets.
- Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources.
- Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading.
- Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions.
- Ensure code quality, performance,



and scalability through best practices and code reviews.
- Stay updated with the latest advancements in Python, data engineering, and backend development.

REQUIRED QUALIFICATIONS:
- 3–5+ years of expertise in Python is a must have.
- Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy.
- Experience with Data Visualization tools such as Power BI, Tableau
- Strong understanding of relational databases and SQL.
- Experience working with cloud platforms such as AWS
- Strong problem-solving skills and the ability to work in a cooperative team environment.
- Bachelor / Master degree in Computer Science, Engineering, or a related field.

WHY JOIN US?
- Highly inclusive and collaborative culture built on mutual respect.
- Focus on core values, initiative, leadership, and adaptability.
- Strong emphasis on personal and professional development.
- Flexibility to work remote

📌 Data Engineer (Delhi)
🏢 WIN Home Inspection
📍 Delhi